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dc.contributor.authorGlos, Jancs
dc.contributor.authorŠolc, Františekcs
dc.date.accessioned2017-08-15T06:46:39Z
dc.date.available2017-08-15T06:46:39Z
dc.date.issued2017-06-21cs
dc.identifier.citationProceedings of the 2017 IEEE International Symposium on Industrial Electronics. 2017, p. 448-453.en
dc.identifier.isbn978-1-5090-1412-5cs
dc.identifier.other137321cs
dc.identifier.urihttp://hdl.handle.net/11012/69389
dc.description.abstractThis paper deals with maximizing coefficient of performance (COP) of R744 automotive heat pump. A high-side pressure variation is possible during transcritical operation employing low pressure receiver and electronic expansion valve (EXV). The optimal high-side pressure is then determined using Fibonacci search method. This approach is one of possible methods of online high-side pressure control and it has significant advantages over the offline methods.en
dc.formattextcs
dc.format.extent448-453cs
dc.format.mimetypeapplication/pdfcs
dc.language.isoencs
dc.publisherIEEEcs
dc.relation"European Union (EU)" & "Horizon 2020"en
dc.relation"Euratom" & "Euratom research & training programme 2014-2018"en
dc.relation"European Union (EU)" & "Horizon 2020"en
dc.relation"Euratom" & Euratom research & training programme 2014-2018"en
dc.relation.ispartofProceedings of the 2017 IEEE International Symposium on Industrial Electronicscs
dc.relation.urihttp://ieeexplore.ieee.org/document/8001288/cs
dc.rights(C) IEEEcs
dc.subjectCO2en
dc.subjectR744en
dc.subjectheat pumpen
dc.subjectoptimal controlen
dc.subjectFibonacci search methoden
dc.subjectCOPen
dc.titleDetermination of optimum high-side pressure of R744 automotive heat pump using Fibonacci search methoden
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav automatizace a měřicí technikycs
thesis.grantorVysoké učení technické v Brně. Středoevropský technologický institut VUT. Kybernetika pro materiálové vědycs
sync.item.dbidVAV-137321en
sync.item.dbtypeVAVen
sync.item.insts2019.08.08 00:57:56en
sync.item.modts2019.08.08 00:17:45en
dc.identifier.doi10.1109/ISIE.2017.8001288cs
dc.relation.projectIdinfo:eu-repo/grantAgreement/EC/H2020/653514/EU//OSEM-EVen
dc.rights.accessopenAccesscs
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionacceptedVersionen


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